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Sensors 2008, 8(4), 2541-2550; doi:10.3390/s8042541
Article

Analyzing the Variation of Building Density Using High Spatial Resolution Satellite Images: the Example of Shanghai City

* , , ,  and
Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
* Author to whom correspondence should be addressed.
Received: 10 December 2007 / Accepted: 31 March 2008 / Published: 11 April 2008
(This article belongs to the Special Issue Sensors for Urban Environmental Monitoring)
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Abstract

Building density is an important issue in urban planning and land management. In the article, building coverage ratio (BCR) and floor area ratio (FAR) values extracted from high resolution satellite images were used to indicate buildings’ stretching on the surface and growth along the third dimension within areas of interest in Shanghai City, P.R. China. The results show that the variation of FAR is higher than that of BCR in the inner circle, and that the newer commercial centers have higher FAR and lower BCR values, while the traditional commercial areas have higher FAR and BCR ratios. By comparing different residential areas, it was found that the historical “Shikumen” areas and the old residential areas built before 1980s have higher BCR and lower FAR, while the new residential areas have higher FAR and lower BCR, except for the villa areas. These results suggest that both older building areas and villa areas use land resources in an inefficient way, and therefore better planning and management of urban land are needed for those fast economic growing regions.
Keywords: Building density; FAR; BCR; satellite images; Shanghai City Building density; FAR; BCR; satellite images; Shanghai City
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Pan, X.-Z.; Zhao, Q.-G.; Chen, J.; Liang, Y.; Sun, B. Analyzing the Variation of Building Density Using High Spatial Resolution Satellite Images: the Example of Shanghai City. Sensors 2008, 8, 2541-2550.

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